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Talent Intelligence Data Engineer – Productivity & Performance (m/f/d)

Siemens

Location not specified

Posted: February 9, 2026

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Quick Summary

As a Talent Intelligence Data Engineer, you will design and implement data solutions to drive business growth and improve productivity, while working closely with cross-functional teams to deliver high-quality results.

Job Description

Who we are

We at Siemens believe that technology can overcome the most significant challenges of our times. Technology is made by people – it's up to us to lead the change and create impact. This is how we give innovation a meaning. We are curious minds, groundbreakers and innovation drivers. And we are human enthusiasts with a diverse set of backgrounds, skills, interests, and needs, united in a unique mission to create a better tomorrow for society.


What part will you play?

As part of our Global Talent Intelligence Team, you will contribute to positioning Siemens as the #1 Employer of choice and will support bringing our new data structure to life.

We are looking for a data professional with 2–3 years of experience who is highly motivated to further develop their data science skills.


This position is for you if you are:

An experienced data detective: you enjoy running SQL / SnowSQL queries and analyzing data in Power BI, and you are not satisfied until you resolve identified issues.
A pipeline architect: you bring some experience designing, implementing, and monitoring ETL/ELT processes. You understand data flow optimization and can work with tools to build robust data solutions.
A quality guardian: you have a track record of ensuring data quality and integrity, systematically identifying and resolving data issues before they impact insights and business decisions.
A gold medal analyst: you’re capable and comfortable breaking down numerical data and all other sources of information. You systematically probe for additional information to identify correlations, predict trends, and gain a greater understanding.
An inquiring mind: you’re intellectually curious and a lifelong learner; you analyze and dissect things to see how they work and figure out how to improve or fix them using ETL/ELT.
An efficient communicator: you effortlessly translate complex business requirements to a non-technical audience in a clear, concise manner to derive meaningful conclusions and present insights and recommendations.


What you need to make what matters real.

2–3 years of professional experience in data analytics, data engineering, or a related field.
Experience in data analytics languages (SQL / Jinja + Python) is required, and experience with data visualization software is desirable (Power BI, Tableau).
Hands-on experience with Snowflake utilities such as SnowSQL and Snowpipe is a nice-to-have.
Experience in documenting procedures is a plus.
Passionate about contributing to the future of Talent Acquisition.
Structured work approach and confidence working in a global environment.
Very good Microsoft Office skills (Excel, Word, PowerPoint, Outlook).
You are curious, proactive, highly motivated, and enjoy learning. You have strong communication skills, complemented by excellent English proficiency.
Ability to work independently and an advanced level of problem-solving skills are essential.


Did you know Siemens has been recognized as one of LinkedIn’s Top Companies to work for in 2025? It’s more than just an award – it reflects a company where people grow, feel valued, and celebrate success together. Explore what your future at Siemens could look like!

At Siemens, we value the diversity of our teams, promote equal opportunities, and foster an inclusive work environment. We welcome talent without distinction, respecting and supporting all forms of diversity. Our Equality Plan, in accordance with current legislation, ensures fair and transparent treatment and reinforces our commitment to building an increasingly equitable and diverse workplace.

#LI-DL #hybrid

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